Triple

T1636083
Position Surface form Disambiguated ID Type / Status
Subject Eclipse E35362 entity
Predicate supportsLanguage P2177 FINISHED
Object Groovy E72230 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Groovy | Statement: [Eclipse, supportsLanguage, Groovy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groovy
Context triple: [Eclipse, supportsLanguage, Groovy]
  • A. Groovy chosen
    Groovy is a dynamic, optionally-typed programming language for the Java platform that enhances Java with concise syntax, scripting capabilities, and powerful metaprogramming features.
  • B. Scala
    Scala is a high-level, statically typed programming language that unifies object-oriented and functional programming paradigms and runs on the Java Virtual Machine.
  • C. Gradle
    Gradle is a powerful, flexible build automation tool and dependency management system widely used in Java and other JVM-based projects.
  • D. Java
    Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
  • E. Java
    Java is a widely used, object-oriented programming language known for its platform independence and extensive use in enterprise, web, and mobile application development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a17e8e08190afb78a953ab920ec completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58dbd0608190be207ab2bcdc9eef completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.